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Key job responsibilities
- Advanced Detection and Prevention: Oversee the development and implementation of advanced models and systems to detect fraudulent activity, abuse, and inappropriate content and copyright infringement. Utilize the latest in Graph-based ML, Behavioral Modeling, and Real-Time Detection techniques. Ensure strategies are continually improved and adapted to evolving threats.
San Diego, CA, USA
- PhD degree or Master's Degree plus 4 years experience in Computer Science, Engineering, Applied Math/Statistics, or a related field.- Excellent communication skills, capable of discussing technical details with a variety of audiences and influencing decision-making processes.- 5+ years experience in machine learning, probability, statistical analysis, and related areas.- 3+ years experience directly managing science teams.
- Experience leading teams in the areas of fraud detection, abuse prevention, and content risk management within a digital or e-commerce environment.
- Expertise in machine learning, statistical analysis, and algorithmic solutions related to fraud and abuse prevention, particularly in Graph-based ML, Behavioral Modeling, and Real-Time Detection.
- PhD or equivalent Master's Degree in Computer Science, Engineering, or a related field, with a focus on security, fraud detection, or risk management.
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